Krishnendu Guha
University College Cork, University of Florida, University of Calcutta, National Institute of Technology Jamshedpur
Research areas: Computer Science · Hardware and Architecture · Embedded Systems Design Techniques · Physical Unclonable Functions (PUFs) and Hardware Security · Security and Verification in Computing
About
Dr. Krishnendu Guha is presently an Assistant Professor/ Lecturer in the School of Computer Science and Information Technology, University College Cork, Ireland. Prior to this, he was a Post-Doctoral Research Associate in the Department of Electrical and Computer Engineering in University of Florida (USA). He held the position of Assistant Professor in National Institute of Technology, Jamshedpur (India) and also the position of a Visiting Scientist in Indian Statistical Institute (India). He was also an Intel India Research Fellow. He has completed his doctoral studies or PhD from University of Calcutta, as an INSPIRE PhD Fellow, under the Department of Science and Technology, Government of India. He also completed his MTech from University of Calcutta, where he was the University Gold Medalist for securing the First Class First Rank.
The arena of research is Cybersecurity, with a flavor of Artificial Intelligence and Nature Inspired Strategies. The works essentially involve developing self aware strategies to secure real time mixed critical embedded tasks from the vulnerability of hardware. The self aware approaches are based and inspired from the activities exhibited by different species of nature. Such unconventional and unique strategies provide low overhead and simple solutions than the state of the art complex theories. Presently, he is working on hardware security and hybrid intelligence.
Employment
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University College Cork Assistant Professor/ Lecturer
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University of Florida Post Doctoral Research Associate
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National Institute of Technology, Jamshedpur Assistant Professor (On Contract)
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Indian Statistical Institute Scientist (Visiting)
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Intel (India) Intel India Research Fellow
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University of Calcutta INSPIRE PhD Fellow (Department of Science and Technology, Government of India)
Education
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University of Calcutta Master of Technology (M. Tech)2012 - 2014
Projects & Funding
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Self Aware Nature Inspired Approaches Ensuring Embedded Security Department of Science and Technology, Government of India
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An Intelligent Approach to Hardware Security and Trust University of Calcutta
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Q Fence HORIZON EUROPE Civil security for society
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SQuID Research Ireland
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CyberUnite Research Ireland
Publications (40)
- Efficient Error Detection for NTT Using Algebraic Invariants (AIC) Checking for PQC and FHE on FPGA Save
- AI-driven multi-tier aerial communication networks: a review of routing, computing, handover, resource management, and optimization techniques Save
- Energy Efficient CNN Accelerator with E-FPGAs for XAI Based Deep Fake Detection Save
- Federated Deep Reinforcement Learning for Joint Coverage and Connectivity in Cooperative UAV Networks for Emergency Communications Save
- LLM-Powered Question Answering for Environmental, Social, and Governance (ESG) Reports Save
- Self-aware decentralized security for real time approximate computing tasks in FPGA-based edge platforms Save
- Distributed Classification with Dynamic Communication for Air Quality Sensing Save
- TiAS Save
- Tracing Components in e-Supply Chain at Open Marketplace Using Lightweight Consensus and Semi-Fungible Tokens Save
- Cybersecurity for Reconfigurable Hardware Based Critical Infrastructures Save
- Aggregate Encryption Individual Decryption for FPGA Bitstream Protection on Cloud Save
- Energy Efficient LSTM Accelerator with e-FPGAs for XAI Based Text Classification Save
- Federated Learning-Based Malware Detection for IoT Platforms Save
- Secure Energy-Efficient Implementation of CNN on FPGAs for Accuracy Dependent Real Time Task Processing Save
- A Self Aware Security Approach for Real Time Neural Network Applications from Row Hammer Attacks in Multi FPGA Multi User Environment Save
- Blockchain Facilitated Protection and Safety in Cyberphysical Systems from Defective Sensors Save
- Energy Efficient Memory-based Inference of LSTM by Exploiting FPGA Overlay Save
- Criticality based Reliability from Rowhammer Attacks in Multi-User-Multi-FPGA Platform Save
- SENAS Save
- Self aware security for real time task schedules in reconfigurable hardware platforms Save